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Finding solutions of fuzzy polynomial equations systems by an Algebraic method

Authors :
Sajjad Rahmany
Annick Valibouze
Marziyeh Boroujeni
Abdolali Basiri
Damghan University of Sciences
Laboratoire de Statistique Théorique et Appliquée (LSTA)
Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)
Algorithmes, Programmes et Résolution (APR)
Laboratoire d'Informatique de Paris 6 (LIP6)
Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)
Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)
Source :
Journal of Intelligent and Fuzzy Systems, Journal of Intelligent and Fuzzy Systems, 2016, 30 (2), pp.791-800. ⟨10.3233/IFS-151801⟩, Journal of Intelligent and Fuzzy Systems, IOS Press, 2016, 30 (2), pp.791-800. ⟨10.3233/IFS-151801⟩
Publication Year :
2016
Publisher :
HAL CCSD, 2016.

Abstract

International audience; Finding solutions for fuzzy polynomial systems has recently received much attention and many efforts have been made to make the available algorithms for solving such problems more and more efficient. In the present paper, Wu’s algorithm is introduced as a solution procedure to obtain fuzzy polynomial systems solutions. In this approach, the parametric form of the problem is first obtained from the computation of r -cuts of fuzzy polynomials. Wu’s algorithm is then applied in order to convert the parametric form of a fuzzy polynomial system into a finite number of characteristic sets. We then have the right relation between solutions of these sets and those of the polynomial system. The most outstanding advantage of the proposed method lies in the fact that it leads to solve triangular sets amenable to easy solution.

Details

Language :
English
ISSN :
10641246 and 18758967
Database :
OpenAIRE
Journal :
Journal of Intelligent and Fuzzy Systems, Journal of Intelligent and Fuzzy Systems, 2016, 30 (2), pp.791-800. ⟨10.3233/IFS-151801⟩, Journal of Intelligent and Fuzzy Systems, IOS Press, 2016, 30 (2), pp.791-800. ⟨10.3233/IFS-151801⟩
Accession number :
edsair.doi.dedup.....96ae2e50548db1f6aeb9f0a84d9fb04e
Full Text :
https://doi.org/10.3233/IFS-151801⟩